Information sharing (IS) has been considered a vital aspect of supply chain management practices. However, it is inadequate to induce a significant increment in performance, so there is a need for collaboration within the supply chain network arises. This study seeks to determine the position of Information Sharing (IS) practices and Supply Chain Collaboration (SCC) in Firm Performance (FP). The study emphasizes that firms exchange information because of the competitive influence stemming from the business environment. The study administered questionnaires to manufacturing firms in Ghana with 201 respondents, and the structural equation modeling tested the relationship between IS, SCC, and FP. The results indicate that firms with higher levels of IS and SCC witness high-performance rates. Also, supply chain collaboration can have a direct, positive influence on the performance of firms. The study is limited in scope, which lessens the generalization of the results. This study is unique because it simultaneously examines the role of information sharing on both collaboration and firm performance.

This paper analyzed the relationship between city logistics measures and environmental sustainability in Ghana. This paper analysis followed an established pattern using the Multiple Linear Regression (MLR) model and correlation matrix. After estimating the descriptive statistics covering four (4) variables such as environmental sustainability, policy, stakeholders interaction, and city logistics measures. The findings indicated that policies correlated with city logistics measures (21%) and environmental sustainability (84%) at 1% significant levels; furthermore, at a 1% significant level, the policies correlated strongly with environmental sustainability than the other variables. The results show that policies play a crucial role in environmental sustainability.The test values indicate that SI, SI1 and CLM are statistically significant at p (0.000) < 0.05 respectively whereas P, P1, SI2 and CLM1 are not statistically significant at p (0.293) > 0.05, p (0.779) > 0.05, p (0.577) > 0.05 and p (0.351) > 0.05. Even though the P2 value is significant, p (0.031) < 0.05. The impacts on environmental sustainability are not felt much. But more importantly, SI and CLM have a positive influence on environmental sustainability. Hence, hypotheses (H1, H2, and H3) were accepted. These then call for policy direction on city logistics measure implementation and environmental sustainability in Ghana and other parts of the world.

Purpose: With the recent emergence of crowd logistics as a form of delivery that involves ordinary citizens rather than skilled couriers, understanding its environmental impact has become an area of concern in most researches. The concept behind crowd logistics is to make use of empty spaces of private individuals who are on an intended trip. The use of empty spaces decreases the number of empty kilometers on the road, lowering emissions and it's thought to ensure environmental sustainability. This article presents the analysis of crowd logistics from an environmental sustainability perspective with much focus on the crowd's behavior. Methods: Survey data from 222 respondents representing various stakeholders was analyzed using IBM SPSS version 25.0 software and IBM AMOS version 24.0 for Structural Equation Modelling (SEM) analysis to delve deeper into crowd logistics' environmental effects. Findings: The findings indicate crowd logistics positively impacts the environment but efficient participation of the crowd is critical in achieving that. Implication: Our findings complement existing literature by providing insight on the role of the crowd in the practice of crowd logistics to achieve environmental sustainability. Policymakers can use this to make policies that ensure efficient transport behavior from the crowd in order to achieve environmental sustainability.

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